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This article is based on an original publication by Brady.
In this century of biology and scientific advances has come an increase in the amount of lab samples being created and stored. Each day laboratories face the challenges of labeling thousands upon thousands of samples correctly—for identification, tracking and reporting reasons—necessitating the need for minimizing mislabeling and scrutinizing workflow processes.
In the study associated with this original white paper, it was found that of the 350 scientists surveyed, nearly 60% reported that from time to time, samples were lost due to label failure with almost half of the respondents reporting losses impacting greater than 2% of their samples.